Michael Hutchinson
Phd Student in Statistical Machine Learning at the University of Oxford
Statistics Department, University of Oxford
Hi I’m Michael! I’m interested in all things Machine Learning!
I am currently a PhD student at the University of Oxford through the StatML course, supervised by Yee Whye Teh and Max Welling. Before that I completed a Masters of Engineering at the University of Cambridge, supervised by Dr Rich E. Turner.
Recently I have been working on two main topics: Diffusion models and related topics and Geometric and Equivariant Deep/Probabilistic Learning
Previously I’ve worked on COVID-19 statistical modeling efforts, Federated Learning, Architecture Search of Bayesian Neural Networks, and Differential Privacy for Federated and Continual Bayesian Learning.
Broadly I’m interested in interface between statistical and deep learning, and trying to bring more principled statistical methods into deep learning.
Interests
- Geometric Learning
- Bayesian Machine Learning
- Climbing, Hockey, Rowing
- Reading Fiction and Philosophy
Education
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PhD in Statistical Machine Learning, 2019-2023
University College, University of Oxford
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MEng in Information and Computer Engineering, 2018-2019
Christs College, University of Cambridge
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BA in Engineering, 2015-2018
Christs College, University of Cambridge
